A subjective evaluation on mixtures of crowdsourced audio recordings

A subjective evaluation on mixtures of crowdsourced audio recordings. Stefanakis, N., Viskadouros, M., & Mouchtaris, A. In 2017 25th European Signal Processing Conference (EUSIPCO), pages 1819-1823, Aug, 2017.

Paper doi abstract bibtex

Exploiting correlations in the audio, several works in the past have demonstrated the ability to automatically match and synchronize User Generated Recordings (UGRs) of the same event. Considering a small number of synchronized UGRs, we formulate in this paper simple linear audio mixing approaches to combine the available audio content. We use data from two different public events to perform a comparative listening test with the goal to assess the potential of such mixtures in improving the listening experience of the captured event, as opposed to when each UGR is consumed individually. The results of the listening tests indicate that, even with just a small number of overlapping UGRs, the outcome of the mixing process gains higher preference in comparison to original UGRs played back individually.

@InProceedings{8081523,
  author = {N. Stefanakis and M. Viskadouros and A. Mouchtaris},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {A subjective evaluation on mixtures of crowdsourced audio recordings},
  year = {2017},
  pages = {1819-1823},
  abstract = {Exploiting correlations in the audio, several works in the past have demonstrated the ability to automatically match and synchronize User Generated Recordings (UGRs) of the same event. Considering a small number of synchronized UGRs, we formulate in this paper simple linear audio mixing approaches to combine the available audio content. We use data from two different public events to perform a comparative listening test with the goal to assess the potential of such mixtures in improving the listening experience of the captured event, as opposed to when each UGR is consumed individually. The results of the listening tests indicate that, even with just a small number of overlapping UGRs, the outcome of the mixing process gains higher preference in comparison to original UGRs played back individually.},
  keywords = {audio recording;audio signal processing;crowdsourcing;available audio content;crowdsourced audio recordings;User Generated Recordings;User Generated Recording;linear audio mixing;public events;Synchronization;Acoustics;Correlation;Europe;Audio recording;Visualization},
  doi = {10.23919/EUSIPCO.2017.8081523},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570346177.pdf},
}

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